The capabilities of AI agents continue to expand. They have clearly gone beyond simple question answering. They can write code, trigger actions, connect to real applications, and stay running in the background with the authority to make autonomous decisions. Once these started operating that way, it became evident that the AI models themselves are only part of the story. A stable layer underneath is needed to keep those agents secure, predictable, and under control.
At GTC 2026 in San Jose, Calif., Nvidia signaled its intent to define that layer with the introduction of NemoClaw – a new stack for the OpenClaw agent platform that combines models, runtime, and security controls to support always-on AI assistants.
(Image courtesy of Nvidia)
With NemoClaw, users get several pieces of Nvidia’s agent software into a single install. This includes Nemotron models, the new OpenShell runtime, and the company’s agent toolkit. According to Nvidia, ”This provides the missing infrastructure layer beneath claws to give them the access they need to be productive, while enforcing policy-based security, network and privacy guardrails.”
The goal is to make self-evolving autonomous AI agents or claws more trustworthy, scalable, and accessible to the world. The company calls this its “contribution to the open claw community to help take the incredible OpenClaw phenomenon to the next level.”
Earlier this month, we covered Jensen Huang, Founder and CEO of Nvidia, calling OpenClaw one of the most important software releases in Nvidia’s history, even suggesting it could become the operating system for personal AI. That was a sign that Nvidia believes the next phase of computing will be built around autonomous agents rather than traditional applications.
“OpenClaw opened the next frontier of AI to everyone and became the fastest growing open source project in history,” said Huang. “Mac and Windows are the operating systems for the personal computer. OpenClaw is the operating system for personal AI. This is the moment the industry has been waiting for — the beginning of a new renaissance in software.”
NemoClaw installs the OpenShell runtime, which provides an isolated environment for agents to run. This allows agents to access tools and data while still enforcing policy-based restrictions, network limits, and privacy controls. Nvidia says the runtime acts as a sandbox, preventing autonomous agents from interacting with the system in ways that could expose sensitive data or create unintended behavior.
A feature of NemoClaw is that it can use any coding agent, tapping into open models to run locally on the user’s dedicated system. Using a privacy router, the AI agents can use frontier models running in the cloud. Nvidia says that this combination of cloud and local models allows for “a foundation for agents to develop and learn new skills to complete tasks according to defined privacy and security guardrails.”
Because these agents are designed to run continuously, Nvidia appears to be steering NemoClaw toward dedicated hardware instead of depending entirely on shared cloud infrastructure. The stack can run on GeForce RTX PCs, RTX PRO workstations, and DGX systems, giving autonomous agents local compute so they can stay active around the clock. That direction hints at a future where always-on AI assistants live on personal and workstation-class machines – and not just remote data centers.
The introduction of NemoClaw aligns with Nvidia’s broader effort to not only build the hardware for agent-based computing, but also the software that can support it. It appears that Nvidia wants to support autonomous systems from the model layer down to the execution environment, continuing its evolution from semiconductor company to a full-stack AI computing provider.
Others in the industry are also broadening their offerings – which is not surprising. As agents become more capable and more autonomous, the surrounding software stack – including runtimes, security layers, and dedicated compute, have become just as important as the models themselves. We will continue reporting from GTC 2026 as the conference highlights how quickly the AI software and hardware stack is evolving.
This article first appeared on HPCwire.
The post Nvidia Introduces NemoClaw to Expand OpenClaw Beyond the Model Layer appeared first on AIwire.
